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Proceedings Paper

Gram-Schmidt orthogonalization technique for atmospheric and sun glint correction of Landsat imagery
Author(s): Charles L. Walker; Maria T. Kalcic
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Paper Abstract

A technique for correcting for haze and sunglint in Landsat Thematic Mapper imagery in coastal regions has been developed and demonstrated using Gram-Schmidt orthogonalization of the band covariance matrix. This procedure is an adaptation of Wiener filtering and noise cancellation stochastic signal processing. Using a covariance matrix constructed from an over water portion of the image containing haze and sunglint pixels, a transfer function between infrared (IR) bands (e.g. TM 5) and visible bands (e.g. TM 2) is derived. This transfer function is then applied to the entire image and the visible band contribution predicted by the IR is subtracted from the measured visible signal, pixel by pixel. A comparison between images with and without haze of the same scene indicates that the procedure allows the observation of underwater features not previously visible.

Paper Details

Date Published: 30 December 1994
PDF: 14 pages
Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); doi: 10.1117/12.196778
Show Author Affiliations
Charles L. Walker, Naval Research Lab. (United States)
Maria T. Kalcic, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 2315:
Image and Signal Processing for Remote Sensing
Jacky Desachy, Editor(s)

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